CRAN
mistral 2.1.0
Methods in Structural Reliability Analysis
Released Apr 3, 2016 by Bertrand Iooss
Dependencies
e1071 1.6-8 Matrix 1.2-14 foreach 1.4.4 ggplot2 2.2.1 quadprog 1.5-5 DiceKriging 1.5.5 mvtnorm 1.0-8 doParallel 1.0.11 iterators 1.0.9 emoa 0.5-0
Various reliability analysis methods for rare event inference: 1) computing failure probability (probability that the output of a numerical model exceeds a threshold), 2) computing quantiles of low or high-order, 3) Wilks formula to compute quantile(s) from a sample or the size of the required i.i.d. sample.
Installation
Maven
This package can be included as a dependency from a Java or Scala project by including
the following your project's pom.xml
file.
Read more
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>mistral</artifactId> <version>2.1.0-b27</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:mistral')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.
- AKMCS
- AKMCS-examples
- ComputeDistributionParameter-examples
- IRW-examples
- LSVM-examples
- MetaIS
- MetaIS-examples
- Mistral-package-examples
- ModifCorrMatrix-examples
- MonteCarlo
- MonteCarlo-examples
- MovingParticles
- S2MART-examples
- SubsetSimulation
- SubsetSimulation-examples
- UtoX-examples
- WilksFormula-examples
- modelLSVM-examples
- plotLSVM-examples
- quantileWilks-examples
- testConvexity-examples
- updateLSVM-examples